Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2002-08-21

AUTHORS

Michele Giugliano , Giancarlo La Camera , Alexander Rauch , Hans-Rudolf Lüscher , Stefano Fusi

ABSTRACT

A novel integrate-and-fire model neuron is proposed to account for a non-monotonic f-I response function, as experimentally observed. As opposed to classical forms of adaptation, the present integrate-and-fire model the spike-emission process incorporates a state - dependent inactivation that makes the probability of emitting a spike decreasing as a function of the mean depolarization level instead of the mean firing rate. More... »

PAGES

141-146

Book

TITLE

Artificial Neural Networks — ICANN 2002

ISBN

978-3-540-44074-1
978-3-540-46084-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/3-540-46084-5_24

DOI

http://dx.doi.org/10.1007/3-540-46084-5_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041709623


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